> Markdown version of [/jobs/ext/2118722-full-stack-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2118722-full-stack-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full-Stack AI Engineer - **Company:** Milestone Technologies, Inc. - **Location:** United States - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Continuous Integration, Data Integration, Data Intelligence, Python (Programming Language), Machine Learning, Software Deployment, Systems Integration, Enterprise Data Management, Large Language Models, AWS ECS, Data Lakes, Api Design, Terraform, Web Api - **Published:** August 19, 2026 - **Apply:** https://www.dice.com/job-detail/e46bde49-7406-49e3-9b1c-5d2b8dfe494d ## About the Role * Data science / ML engineering foundation with strong Python; practical experience building on LLM APIs (OpenAI or equivalent). * Production deployment fluency: AWS (ECS preferred), containers, CI/CD, Terraform/IaC awareness. * Data integration experience (data lake / enterprise data platforms, third-party APIs). Nice-to-Have * Regulated-pharma environment exposure; agentic-AI orchestration patterns; procurement/market-intelligence data familiarity. ## Description * Maintain and support the application's OpenAI API integration layer - prompt flows, API calls, error handling, performance and cost hygiene. * Support deployment and operation on AWS ECS with Terraform-managed infrastructure; execute environment promotions with the BA and QA. * Maintain integrations with EDF (Enterprise Data Fabric), web sources, Dun & Bradstreet and Beroe; complete the in-progress Beroe connection. * Fix defects surfaced in UAT/production; make bounded enhancements without opening new feature scope. * Absorb knowledge transfer from the AI&D team and document the technical runbook for the future product team. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Celery on AWS ECS - the art of background tasks & continuous deployment](https://www.wearedevelopers.com/videos/561-celery-on-aws-ecs-the-art-of-background-tasks-continuous-deployment) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)